Table 2.
Grid search technique parameters.
| Hyperparameters tuned | Min value | Max value | Increments | Length |
|---|---|---|---|---|
| Decision Tree – complexity | 0.001 | 0.1 | 0.01 | 10 |
| Decision Tree – number of observations chosen when splitting a node | 60 | 100 | 10 | 5 |
| Decision Tree – depth parameter | 6 | 10 | 1 | 5 |
| Random Forest – number of explanatory variables considered at each split | 2 | 6 | 1 | 5 |
| Random Forest – number of Trees that need to be grown | 50 | 100 | 10 | 6 |